We determined the persistence at various times (3,7,14,21,28,42 and 56 days) of eight tobacco smoke carcinogen and toxicant biomarkers in the urine of 17 smokers who stopped smoking. The biomarkers were 1-hydroxy-2-(N-acetylcysteinyl)-3-butene (1) and 1-(N-acetylcysteinyl)-2-hydroxy-3-butene (2) [collectively called MHBMA for monohydroxybutyl mercapturic acid] and 1,2-dihydroxy-4-(N-acetylcysteinyl)butane (3) [DHBMA for dihydroxybutyl mercapturic acid], metabolites of 1,3-butadiene; 1-(N-acetylcysteinyl)-propan-3-ol (4, HPMA for 3-hydroxypropyl mercapturic acid), a metabolite of acrolein; 2-(N-acetylcysteinyl)butan-4-ol (5, HBMA for 4-hydroxybut-2-yl mercapturic acid), a metabolite of crotonaldehyde; (N-acetylcysteinyl)benzene (6, SPMA for S-phenyl mercapturic acid), a metabolite of benzene; (N-acetylcysteinyl)ethanol (7, HEMA for 2-hydroxyethyl mercapturic acid), a metabolite of ethylene oxide; 1-hydroxypyrene (8) and its glucuronides (1-HOP), metabolites of pyrene; and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (9) and its glucuronides (total NNAL), a biomarker of exposure to 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). These biomarkers represent some of the major carcinogens and toxicants in cigarette smoke: 1,3-butadiene, acrolein, crotonaldehyde, benzene, ethylene oxide, polycyclic aromatic hydrocarbons (PAH), and NNK. With the exception of DHBMA, levels of which did not change after cessation of smoking, all other biomarkers decreased significantly after 3 days of cessation (P<0.001). The decreases in MHBMA, HPMA, HBMA, SPMA, and HEMA were rapid, nearly reaching their ultimate levels (81 -91% reduction) after 3 days. The decrease in total NNAL was gradual, reaching 92% after 42 days, while reduction in 1-HOP was variable among subjects to about 50% of baseline. Since DHBMA did not change upon smoking cessation, there appear to be sources of this metabolite other than 1,3-butadiene. The results of this study demonstrate that the tobacco smoke carcinogen/toxicant biomarkers MHBMA, HPMA, HBMA, SPMA, HEMA, 1-HOP, and NNAL are related to smoking and are good indicators of the impact of smoking on human exposure to 1,3-butadiene, acrolein, crotonaldehyde, benzene, ethylene oxide, PAH and NNK.

Our findings suggest that the prevalence of UI is high in China, with SUI as the most common subtype. Age, vaginal delivery, and others are risk factors for SUI.

4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and its glucuronides (sum of which is denoted as total NNAL) are metabolites of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). NNK and NNAL can induce lung cancer in laboratory animals but human data are limited. The association between prediagnostic levels of urinary total NNAL and risk of lung cancer development was evaluated in two prospective cohorts of Chinese cigarette smokers. We conducted a nested case-control study involving 246 cases of incident lung cancer and 245 cohort controls who were individually matched to the index cases by age, gender, neighborhood of residence at cohort enrollment, and date of urine collection. Urinary levels of total NNAL were significantly associated with risk of lung cancer in a dose-dependent manner. Relative to the lowest tertile, risks associated with the second and third tertiles of total NNAL were 1.43 [95% confidence interval (95% CI), 0.86-2.37] and 2.11 (95% CI, 1.25-3.54), respectively (P for trend = 0.005) after adjustment for self-reported smoking history and urinary total cotinine. Smokers in the highest tertiles of urinary total NNAL and total cotinine exhibited a 8.5-fold (95% CI, 3.7-19.5) increased risk for lung cancer relative to smokers with comparable smoking history but possessing the lowest tertiles of urinary total NNAL and total cotinine. Findings of the present study directly link NNK exposure to lung cancer development in humans. [Cancer Res 2009;69(7):2990-5]

Polycyclic aromatic hydrocarbons (PAH) are believed to be among the principal causative agents for lung cancer in smokers, but no epidemiologic studies have evaluated the relationship of PAH uptake and metabolism to lung cancer. In this study, we quantified prediagnostic urinary levels of r-1,t-2,3,c-4-tetrahydroxy-1,2,3,4-tetrahydro-phenanthrene (PheT), a validated biomarker of PAH uptake and metabolism, as well as 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and its glucuronides (total NNAL), and cotinine and its glucuronides (total cotinine), validated biomarkers of uptake of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, and nicotine, respectively, in relation to lung cancer risk among current smokers in a nested case–control study within a cohort of 18,244 Chinese men in Shanghai, China. Urinary levels of PheT, total NNAL, and total cotinine were significantly higher in cases than controls (N = 476 matched pairs). ORs (95% confidence intervals) for lung cancer in the second, third, fourth, and fifth quintiles of PheT were 1.70 (1.00–2.88), 1.07 (0.62–1.84), 1.48 (0.86–2.53), and 2.34 (1.33–4.11), respectively, relative to the lowest quartile (Ptrend = 0.023) after adjustment for self-reported smoking intensity and duration and urinary total NNAL and total cotinine. This study also confirmed that urinary total NNAL and total cotinine are independently related to lung cancer risk.

Epidemiologic studies show a dose-response relationship between cigarettes per day and health outcomes such as heart and lung disease, and health outcomes are related to some biomarkers of tobacco exposure. The objective of this study was to examine the relationships between cigarettes per day and levels of selected biomarkers of tobacco toxin exposure: carbon monoxide (CO), metabolites of the tobacco-specific carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and polycyclic aromatic hydrocarbons [total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and 1-hydroxypyrene (1-HOP), respectively], and total cotinine (cotinine plus cotinine-N-glucuronide). We did a cross-sectional analysis of merged data from (a) two clinical trials and (b) two cohorts of light smokers (total n = 400). The mean age of participants was 50.4 years and the range of cigarette consumption was 1 to 100/d; however, few subjects smoked >45 cigarettes/d (n = 12).Results show that levels of the biomarkers CO, total NNAL, and total cotinine increase with an increase in the number of cigarettes smoked per day, but not in a linear fashion. 1-HOP is a less discriminating biomarker as levels are relatively stable regardless of the number of cigarettes smoked per day. There is considerable variability in toxin measurement, especially at high levels of smoking. There was a significant correlation between cigarettes per day and total NNAL, 1-HOP, total cotinine, and CO. Total NNAL was highly significantly correlated with total cotinine and CO and also significantly correlated with 1-HOP. These findings suggest that the number of cigarettes smoked per day is not necessarily a reliable measure of toxin exposure and may underestimate tobacco toxin exposure at low levels of smoking or overestimate exposure at high levels of smoking. (Cancer Epidemiol

UI is a major disorder that affects female quality of life. The prevalence of female UI is high (38.5%) in Beijing. Among the different types of UI, SUI was the most prevalent (22.9%). Potential risk factors identified for female SUI were multiple vaginal deliveries, age, postmenopausal status, chronic pelvic pain, obesity, lack of exercise, constipation, and hypertension.

The biochemical response to ursodeoxycholic acid (UDCA) in primary biliary cirrhosis is a strong predictor of long‐term outcome and thus facilitates the rapid identification of patients needing new therapeutic approaches. Numerous criteria for predicting outcome of treatment have been studied based on biochemical response to UDCA at 1 year. We sought to determine whether an earlier biochemical response at 3 or 6 months could as efficiently identify patients at risk of poor outcome, as defined by liver‐related death, liver transplantation, and complications of cirrhosis. We analyzed the prospectively collected data of 187 patients with a median follow‐up of 5.8 years (range, 1.3‐14 years). The survival rates without adverse outcome at 5 years and 10 years were 86% and 63%. Under UDCA therapy, laboratory liver parameters experienced the most prominent improvement in the first 3 months (P < 0.0001) and then stayed relatively stable for the following months. The Paris, Barcelona, Toronto, and Ehime definitions, but not the Rotterdam definition, applied at 3, 6, and 12 months significantly discriminated the patients in terms of long‐term outcome. Compared with biochemical responses evaluated after 1 year of UDCA therapy, biochemical responses at the third month demonstrated higher positive predictive value (PPV) but lower negative predictive value (NPV) and increased negative likelihood ratio (NLR) by all definitions; biochemical responses at the sixth month showed higher or the same PPV and NPV and lower NLR by all definitions. Conclusion: For the previously published criteria, biochemical responses at the sixth month can be used in place of those evaluated after 1 year of UDCA therapy. Our findings justify a more rapid identification of patients who need new therapeutic approaches. (HEPATOLOGY 2013)

Background:Female sexual dysfunction (FSD) is a highly prevalent and often underestimated problem. However, large-scale, population-based epidemiological surveys of FSD are scarce in China. The present study was conducted to evaluate the prevalence and the potential risk factors of FSD across a selection of social groups in Beijing, China, based on the Female Sexual Function Index (FSFI).Methods:A cross-sectional study based on the multiple-stage cluster sampling was performed with adult women throughout the Dongcheng and Shunyi districts of Beijing. The Chinese version of FSFI was used, as well as questions on demographic characteristics, the disease-related context, and social relationships.Results:A total of 6000 consecutive women entered this study, with an actual response from 5024 women, corresponding to a response rate of 83.7%. A total of 4697 (78.3%) questionnaires were effective. The prevalence of adult FSD in Beijing was 2973 (63.3%) using a score of 26.55 as the boundary value, whereas the total mean FSFI score was 23.92 ± 6.37. However, 1423 (30.3%) women did not seek help. By multivariate logistic regression analysis, the possible potential risk factors included age (odds ratio [OR] = 1.051), dissatisfaction with the spouse's sexual ability (OR = 3.520), poor marital affection (OR = 2.087), spouse sexual difficulties (OR = 1.720), dissatisfaction with married life (OR = 1.476), living in a rural area (OR = 1.292), chronic pelvic pain (OR = 1.261), chronic disease (OR = 1.534), previous pelvic surgery (OR = 1.605), vaginal delivery (OR = 2.285), lower education (OR = 3.449) and postmenopausal (OR = 3.183).Conclusions:As suggested by the FSFI scores, female sexual problems are highly prevalent in Beijing. Dissatisfaction with the spouse's sexual ability, poor marital affection, sexual difficulties of the spouse, dissatisfaction with the marriage, rural life, CPP, and postmenopausal were conceivable risk factors for FSD in Beijing women.